5 citations · 14 across the 17 of their papers we have counts for
17 papers
Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
Xuemei Tang, Xufeng Duan, Zhenguang G. Cai
Large language models (LLMs) are increasingly used to generate multiple-choice questions (MCQs), where correct answers should ideally be uniformly distributed across options. Howev…
SCALPEL: Selective Capability Ablation via Low-rank Parameter Editing for Large Language Model Interpretability Analysis
Zihao Fu, Xufeng Duan, Zhenguang G. Cai
Large language models excel across diverse domains, yet their deployment in healthcare, legal systems, and autonomous decision-making remains limited by incomplete understanding of…
CAST: Compositional Analysis via Spectral Tracking for Understanding Transformer Layer Functions
Zihao Fu, Ming Liao, Chris Russell +1
Large language models have achieved remarkable success but remain largely black boxes with poorly understood internal mechanisms. To address this limitation, many researchers have…
Neural Dynamics of AI-attributed Irony Reveal a Partial Intentional Stance
Xiaohui Rao, Hanlin Wu, Zhenguang G. Cai
As Large Language Models (LLMs) are increasingly deployed as social agents and trained to produce humor and irony, a question emerges: when encountering witty AI remarks, do people…
A funny companion: Distinct neural responses to AI- versus human-attributed humor
Xiaohui Rao, Hanlin Wu, Zhenguang G. Cai
As artificial intelligence (AI) companions become capable of human-like communication, including telling jokes, understanding how people cognitively and affectively respond to AI-a…
Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family
Yumeng Lin, Xufeng Duan, David Haslett +2
Large language models have achieved impressive progress in multilingual translation, yet they continue to face challenges with certain language pairs-particularly those with limite…